Data Engineer (Google Cloud Platform)

Empa-T; Portugal; Remote; EUR 50,000 - 75,000; Full time

Job summary

Empa-T in Portugal is seeking an experienced Data Engineer to join an international project focused on building scalable data platforms in the Google Cloud Platform (GCP) ecosystem.

You will design and maintain data pipelines, ensure data quality and governance, collaborate with architects, scientists, analysts, and stakeholders, and apply CI/CD and DevOps practices in an Agile environment.

Qualifications

• Minimum 5 years of professional experience in Data Engineering.
• Hands-on experience with Google Cloud Platform (GCP) services and data tooling.
• Strong SQL and data modelling knowledge.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data solutions using Google Cloud Platform services.
• Develop and maintain data ingestion frameworks for structured and unstructured data.
• Ensure data quality, integrity, security, and governance across the platform.
• Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
• Optimize data processing performance and cost efficiency within cloud environments.
• Implement monitoring, alerting, and troubleshooting mechanisms for data workloads.
• Support Data Science and Analytics teams by delivering reliable and high-quality datasets.
• Participate in architecture discussions and contribute to the evolution of the data platform.
• Apply best practices regarding CI/CD, DevOps, and Infrastructure as Code for data solutions.
• Contribute to continuous improvement initiatives, knowledge sharing, and technical documentation.
• Work within Agile delivery teams following modern software development practices.

Skills

5+ years

Data Engineering

GCP

BigQuery

Dataflow

Pub/Sub

Composer (Airflow)

Cloud Functions

SQL

Python

ETL/ELT

Data warehousing

CI/CD

Git

Agile

Collaboration

Problem solving

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Pub/Sub

Composer (Airflow)

Cloud Functions

Job description

At Empa‑T, we believe that data is at the heart of digital innovation. We are looking for an experienced Data Engineer to join an international project.

This is an exciting opportunity for a professional passionate about building scalable data solutions, leveraging cloud technologies, and transforming complex data into business value within a highly innovative and fast-paced environment.

About the Project

You will join an international data team responsible for designing, developing, and maintaining modern data platforms that support business-critical decision-making across multiple markets and business units.

Working closely with Data Architects, Data Scientists, Analysts, and Business Stakeholders, you will help build robust and scalable data pipelines within the Google Cloud Platform (GCP) ecosystem while contributing to the organization's data-driven transformation journey.

This role requires a strong technical background in data engineering, cloud technologies, and modern data architectures, combined with excellent collaboration and problem‑solving skills.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data solutions using Google Cloud Platform services.
• Develop and maintain data ingestion frameworks for structured and unstructured data.
• Ensure data quality, integrity, security, and governance across the platform.
• Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
• Optimize data processing performance and cost efficiency within cloud environments.
• Implement monitoring, alerting, and troubleshooting mechanisms for data workloads.
• Support Data Science and Analytics teams by delivering reliable and high-quality datasets.
• Participate in architecture discussions and contribute to the evolution of the data platform.
• Apply best practices regarding CI/CD, DevOps, and Infrastructure as Code for data solutions.
• Contribute to continuous improvement initiatives, knowledge sharing, and technical documentation.
• Work within Agile delivery teams following modern software development practices.

Skills & Experience

• +5 years of professional experience in Data Engineering.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Proven experience building and maintaining large-scale data pipelines.
• Strong knowledge of:
• BigQuery
• Dataflow
• Pub/Sub
• Composer (Airflow)
• Cloud Functions
• Solid experience with SQL and data modelling concepts.
• Strong programming skills in Python.
• Experience with ETL/ELT frameworks and data integration projects.
• Good understanding of data warehousing and modern data architectures.
• Experience working with large datasets in cloud environments.
• Familiarity with CI/CD practices and version control tools such as Git.
• Experience working in Agile environments.
• Strong analytical thinking and problem-solving capabilities.
• Excellent communication and stakeholder management skills.
• Ability to work autonomously while maintaining a strong collaborative mindset.

Portugal | Remote

Why Empa‑T?

At Empa‑T, we value empathy, collaboration, and continuous improvement.

You will have the opportunity to work on a large-scale international project, leveraging cutting-edge cloud technologies and modern data solutions while collaborating with multidisciplinary teams across Europe.

This role offers exposure to complex data ecosystems, opportunities for professional growth, and the chance to contribute directly to the evolution of data-driven services used by millions of customers.

Join Empa‑T and help shape the future of data by building scalable cloud solutions that power the next generation of digital services.